Lee Chang Won, King Christine E, Wu Shun Chi, Swindlehurst A Lee, Nenadic Zoran
Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:67-70. doi: 10.1109/IEMBS.2011.6089898.
Multi-sensor electrodes for extracellular recording of neuronal action potentials have significantly increased the signal-to-noise ratio (SNR) in neurophysiological experiments, ultimately leading to a more accurate interpretation of scientific data. Apart from improving SNR, we hypothesize that these electrodes can be used to estimate the location of underlying neuronal signal sources, and perhaps other parameters such as the size and shape of neurons whose activities are being recorded. This study introduces the multiple signal classification (MUSIC) algorithm to the problem of neuron localization and presents the first experimental demonstration of signal source localization using commercially available 4-sensor electrodes (tetrodes).
用于细胞外记录神经元动作电位的多传感器电极在神经生理学实验中显著提高了信噪比（SNR），最终使得对科学数据的解释更加准确。除了提高信噪比之外，我们推测这些电极可用于估计潜在神经元信号源的位置，或许还能估计其他参数，比如正在记录其活动的神经元的大小和形状。本研究将多重信号分类（MUSIC）算法引入神经元定位问题，并首次展示了使用市售四传感器电极（四极管）进行信号源定位的实验。
